Publication | Closed Access
Adaptive identification and control of dynamical systems using neural networks
50
Citations
0
References
2003
Year
Unknown Venue
EngineeringMachine LearningNeural Networks (Machine Learning)Intelligent SystemsLearning ControlRecurrent NetworksRecurrent Neural NetworkNonlinear System IdentificationNonlinear TransformationsSystems EngineeringNonlinear Control (Control Engineering)Nonlinear ControlIntelligent ControlNeural Networks (Computational Neuroscience)Neural NetworksSystem IdentificationControl System EngineeringEvolving Neural NetworkMechanical SystemsProcess ControlAdaptive ControlAdaptive IdentificationBusinessNonlinear Control (Business Management)
In recent years, multilayer neural networks and recurrent networks have emerged as important components for representing nonlinear transformations and have proved particularly successful in pattern recognition and optimization problems. The authors explore methods for incorporating such networks in adaptive systems for the identification and control of complex nonlinear dynamical systems.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>